Abstract:

Spatial distribution of simulated catch in number of fish by each fleet (handline and longline simulated vessels) each year of the nineteen-year simulation. Eight Gulf reef fish are represented. This dataset is one of a suite of eight for which statistical methods and machine learning algorithms were used to simulate various measures of fish population health, including abundance surveys, mortality estimates, and fisheries catch and effort reports. Related datasets are R5.x289.000:0001 (doi:10.7266/n7-nwff-ap81, simulated logbook data from a modeled commercial fishing vessel); R5.x289.000:0002 (doi:10.7266/n7-scsn-ws67, simulated population size and age data); R5.x289.000:0003 (doi:10.7266/n7-bvvg-rz27, simulated life history characteristics of sample fish caught by a simulated commercial fisher); R5.x289.000:0005 (doi:10.7266/n7-0v4e-v691, spatial distribution of simulated oil-induced mortality in Gulf reef fish species); R5.x289.000:0006 (doi:10.7266/n7-gtwq-5y46, simulated fishing effort by handline and longline commercial vessels); R5.x289.000:0008 (doi:10.7266/n7-1cb3-8j47, simulated annual reported Gulf reef fish species abundance and biomass); and R5.x289.000:0009 (doi:10.7266/7XFDXRD9, Gulf reef fish abundance statistically modeled using video survey methods).

Suggested Citation:

Saul, Steven. 2021. Simulated spatial distribution of annual fish species catch by simulated commercial fishing vessels. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-qf7p-gt16

Purpose:

To simulate annual spatial catch data and fish species within each grid cell.

Data Parameters and Units:

The zipped file contains multiple text files with the data. The files are labeled as follows, "SpatialCatchNumbersXX_Species_year_Y.txt", where "XX" is either HL for handline gear or LL for longline gear, "Species" is the species common name (RedGrouper, GagGrouper, RedSnapper, YellowedgeGrouper, GrayTriggerfish, Tilefish, VermilionSnapper, or MuttonSnapper), and "Y" is the simulation year. Each file has the following columns: X = the grid cell location reference for the x-axis. Can be converted to longitude using the conversion formulas at the bottom of this parameter list Y = the grid cell location reference for the y-axis. Can be converted to latitude using the conversion formulas at the bottom of this parameter list Catch_Numbers = the number of fish caught in that grid cell To Convert X and Y values to Longitude and Latitude respectively, use the following parameters and conversion equations: minLongitude = -98 maxLongitude = -81 minLatitude = 24 maxLatitude = 31 GridWidth = 1021 GridHeight = 421 Longitude = minLongitude + ((X/GridWidth) * (maxLongitude - minLongitude)) Latitude = minLatitude + ((Y/GridHeight) * (maxLatitude - minLatitude))

Methods:

A reference to the simulation model used to develop this data and its mathematical structure can be found in the publication referenced in Supplemental Information - Provenance and Historical References section (Saul et al 2020).

Provenance and Historical References:

Saul, Steven, Elizabeth Brooks, and David J. Die. 2020. How fisher behavior affects stock assessment: insights from an agent-based modeling approach. Canadian Journal of Fisheries and Aquatic Sciences 77(11): 1749-1757. DOI: 10.1139/cjfas-2019-0025.

Individual Files: